Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels
Bruxism is a sleep syndrome, in which individual involuntarily grinding and clenching the teeth. If sleep does not complete properly, then it generates many disorders such as bruxism, insomnia, sleep apnea, narcolepsy, rapid eye movement behavioral disorder, and nocturnal frontal lobe epilepsy. The...
Saved in:
Main Authors: | Dakun Lai, Md Belal Bin Heyat, Faez Iqbal Khan, Yifei Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8743356/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Morphology-Preserving Algorithm for Denoising of EMG-Contaminated ECG Signals
by: Vladimir Atanasoski, et al.
Published: (2024-01-01) -
A Database of Simultaneously Recorded ECG Signals With and Without EMG Noise
by: Vladimir Atanasoski, et al.
Published: (2023-01-01) -
Adaptive EMG Pattern Classification via Probabilistic Knowledge Transfer With Scale Mixture-Based Bayesian Sequential Learning
by: Seitaro Yoneda, et al.
Published: (2025-01-01) -
EMG-CHARACTERISTICS OF MASTICATORY MUSCLES IN SUBJECTS WITH BRUXISM
by: L.V. Smaglyuk, et al.
Published: (2022-03-01) -
Sleep Bruxism Detection Using Decision Tree Method by the Combination of C4-P4 and C4-A1 Channels of Scalp EEG
by: Md Belal Bin Heyat, et al.
Published: (2019-01-01)